Method and system for in-situ identification of working fluids

Patent metadata

Field	Value
Publication number	US-10365239-B2
Application number	US-201715412091-A
Country	US
Kind code	B2
Filing date	Jan 23, 2017
Priority date	Feb 15, 2016
Publication date	Jul 30, 2019
Grant date	Jul 30, 2019

Abstract

A system for in-situ identification of a working fluid disposed in at least one piece of equipment, the system including: a working fluid reservoir that contains the working fluid; an in-situ sensor disposed in the working fluid reservoir such that it detects properties of the working fluid or computes properties from the generated spectra of the working fluid; a transmitter that transmits the detected spectra of the working fluid and equipment identification information; and a cloud computing system that receives the detected spectra and the equipment identification information transmitted from the transmitter, wherein the cloud computing system compares the spectra and equipment identification information against a reference database to determine whether or not the spectra of the working fluid substantially matches the stored reference spectra associated with the expected or specified fluid for the equipment.

First claim

The invention claimed is:

1. A system for in-situ identification of a working fluid disposed in at least one piece of equipment, said system comprising:
a working fluid reservoir that contains said working fluid;
an in-situ sensor disposed in said working fluid reservoir such that it detects properties of said working fluid or computes properties from the generated spectra of said working fluid;
a transmitter that transmits a detected spectra of said working fluid and equipment identification information; and
a cloud computing system that receives said detected spectra and said equipment identification information transmitted from said transmitter,
wherein said cloud computing system compares said detected spectra and equipment identification information against a reference database to determine whether or not the detected spectra of the working fluid substantially matches the stored reference spectra associated with the expected or specified fluid for said equipment.

2. The system according to claim 1 , wherein said working fluid is at least one selected from the group consisting of: lubricants, hydraulic fluids, fuel and oil field chemicals.

3. The system according to claim 1 , wherein said in-situ sensor comprises at least two sensors selected from the group consisting of: an impedance sensor, a dielectric sensor, a visible/near infrared sensor, and infrared sensor wherein the spectrum signals from each sensor are combined.

4. The system according to claim 3 , further comprising a chemical marker added to said working fluid to assist in further identification of said working fluid wherein said chemical marker is at least one selected from the group consisting of: polyaromatic hydrocarbons, asphaltenes, detergents, ionic liquids, metallic nanoparticles, semi-conductor nanoparticles, fluorescent compounds, enzymes, DNA, RNA, polypeptides, fat soluble molecules with specific biological activity, redox-active organometallic complexes and arrays of molecules with unique molecular weight distributions.

5. The system according to claim 1 , wherein said in-situ sensor is at least one sensor selected from the group consisting of: an impedance sensor, a dielectric sensor, a visible/near infrared sensor, and infrared sensor.

6. The system according to claim 1 , further comprising a data repository for storing said detected spectra and said equipment identification information.

7. The system according to claim 1 , further comprising a user interface for displaying the resulting output from said cloud computing system regarding whether or not said working fluid substantially matches said stored reference spectra associated with said equipment.

8. A method for in-situ identification of a working fluid disposed in a piece of equipment, said method comprising:
detecting the properties of said working fluid via an in-situ sensor disposed in a working fluid reservoir;
generating a detected spectra of said working fluid from said detected properties;
transmitting the detected spectra of said working fluid and equipment identification information to a cloud computing system; and
comparing said spectra and equipment identification information against a reference database to determine whether or not said working fluid substantially matches the stored reference spectra associated with said equipment.

9. The method according to claim 8 , wherein said working fluid is at least one selected from the group consisting of: lubricants, hydraulic fluids, fuel and oil field chemicals.

10. The method according to claim 8 , wherein said in-situ sensor comprises at least two sensors selected from the group consisting of: an impedance sensor, a dielectric sensor, a visible/near infrared sensor, and infrared sensor wherein the spectrum signals from each sensor are combined.

11. The method according to claim 10 , further comprising adding a chemical marker to said working fluid to assist in further identification of said working fluid wherein said chemical marker is at least one selected from the group consisting of: polyaromatic hydrocarbons, asphaltenes, detergents, ionic liquids, metallic nanoparticles, semi-conductor nanoparticles, fluorescent compounds, enzymes, DNA, RNA, polypeptides, fat soluble molecules with specific biological activity, redox-active organometallic complexes and arrays of molecules with unique molecular weight distributions.

12. The method of claim 10 , wherein the chemical marker is an oil-soluble ionic liquid.

13. The method of claim 12 , wherein the oil-soluble ionic liquid is selected from Trihexyl(tetradecyl)phosphonium bis(2,4,4-trimethylpentyl)phosphinate (THP-TMPP) and Tributyl(tetradecyl)phosphonium dodecylbenzenesulfonate (TBP-DDBS).

14. The method of claim 13 , wherein the oil-soluble ionic liquid is present in a concentration greater than or equal to 0.1 wt %, based upon total weight of the working fluid.

15. The method according to claim 8 , wherein said in-situ sensor is at least one sensor selected from the group consisting of: an impedance sensor, a dielectric sensor, a visible/near infrared sensor, and infrared sensor.

16. The method according to claim 15 , wherein at least two in-situ sensors are used, and further comprising combining said detected spectra from said in-situ sensors, thereby generating a single multi-dimensional vector.

17. The method according to claim 8 , further comprising storing said detected spectra and said equipment identification information.

18. The method according to claim 8 , further comprising displaying the resulting output from said cloud computing system regarding whether or not said working fluid substantially matches said stored reference spectra associated with said equipment.

19. The method according to claim 8 , further comprising the steps of: (a) storing said spectra and equipment identification information of said working fluid if it does not match any working fluid spectra previously stored in said reference database; and (b) reporting a negative identification of said working fluid to a user.

20. The method according to claim 8 , further comprising reporting a negative identification of said working fluid to a user, if said spectra and equipment identification information of said working fluid does not match any working fluid spectra previously stored in said reference database.

21. The method according to claim 8 , further comprising reporting a positive identification of said working fluid to a user, if said spectra and equipment identification information of said working fluid matches a working fluid spectra previously stored in said reference database.

22. The method according to claim 18 , further comprising updating said reference database to reflect real world effects on the detected spectra of said working fluid.

Assignees

• Exxonmobil Res & Eng Co

Inventors

• Lilik Gregory K
• Stober Spencer T
• Schilowitz Alan M
• Blumenfeld Michael L
• Johnston Gary James
• Bainbridge Samuel C
• Herz Erik

Classifications

• G01N21/25

  Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands · CPC title

• G01N33/54373

  involving physiochemical end-point determination, e.g. wave-guides, FETS, gratings · CPC title

• G01N27/02

  by investigating impedance · CPC title

• G01N21/643

  non-biological material · CPC title

• G01N21/84

  Systems specially adapted for particular applications · CPC title